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Spoken dialogue interfaces apply in a number of applications. Engaging in meaningful conversation presupposes the ability to recognize and generate different conversational moves, and to adaptively carry on a dialogue. Although the portability of dialogue interfaces is highly desirable, few current approaches address it seriously. The authors describe a portable toolkit for constructing spoken dialogue interfaces. They present the representations and techniques used to customize an interface to a particular domain and application. The approach relies on shallow knowledge of the domain, and interprets a rule-based model of the dialogue.
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